{"id":"W1975147063","doi":"10.1088/0965-0393/8/6/307","title":"An inverse approach for the prediction of the temperature evolution during induction heating of a semi-solid casting billet","year":2000,"lang":"en","type":"article","venue":"Modelling and Simulation in Materials Science and Engineering","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Induction heating; Materials science; Aluminium; Induction hardening; Metallurgy; Inverse; Casting; Mechanics; Composite material; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004544295,0.00007755654,0.0001084792,0.0001234087,0.000199683,0.00002996177,0.00006982982,0.00007378501,0.000001440481],"category_scores_gemma":[0.00003280552,0.00005651288,0.00001073584,0.0003061539,0.00008196697,0.00026669,0.000009313975,0.00008420794,2.400192e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004110829,"about_ca_system_score_gemma":0.00001159208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006536705,"about_ca_topic_score_gemma":7.333687e-7,"domain_scores_codex":[0.9993643,0.00001145058,0.0002487323,0.0001338276,0.0001093915,0.0001323636],"domain_scores_gemma":[0.9997492,0.00002808672,0.00003438877,0.0001142719,0.00005795653,0.00001605515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003558124,0.000002315276,0.000118174,0.00007388914,0.000001504115,8.781085e-9,0.0005012333,0.6553898,0.3437041,0.00002177353,1.335851e-7,0.0001835497],"study_design_scores_gemma":[0.0001232365,0.00001528782,0.0009543094,0.00007170852,0.000005456728,0.000004443543,0.0002155793,0.9292144,0.06931788,0.00002772264,0.000001681535,0.00004826589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609728,0.00003848081,0.0385884,0.0000062368,0.0001608182,0.0001638934,0.000006766963,0.00005506588,0.000007524425],"genre_scores_gemma":[0.9980275,0.00002508757,0.001858585,0.000001590063,0.00005866479,0.00001552733,0.000001653613,0.000008697388,0.000002718205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2743862,"threshold_uncertainty_score":0.2304528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685079421787493,"score_gpt":0.2111496638590683,"score_spread":0.1942988696411933,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}